• KIEAE Journal
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• v.15 no.1
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• pp.13-20
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• 2015

The main purpose of the green buildings by reducing energy consumption and carbon footprint of the building society, global as to ensure the sustainability of the building and the environment. These regulations and schemes are used to activate the green buildings were made on the basis of the relevant laws and regulations. Mainly in the research for the improvement of the domestic institutional assessment items, the analysis of the legislation was fundamentally focused on Scoring the incomplete state. The analysis based on the laws and regulations of the institution is the way to know the purpose and direction of the respective certification. This study was performed in the following order to target the new commercial buildings. First, the analysis of the geungeobeop G-SEED and BREEAM. Second, we analyze the content and method of building energy performance in the certification system. As a result, Green Building Act is broad in relation to the composition of the contents are building for the activation energy green building and EPI is dealt with in an abstract and presented the applicability of such documentary content of insulation and airtightness, efficient machine. In contrast, the UK has been directly limit the carbon footprint of buildings in the Building Regulations Part L and evaluate them in BREEAM. This analysis of the ways to reduce substantially the energy for domestic green building regulations should be addressed through the feed.

• Structural Engineering and Mechanics
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• v.53 no.4
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• pp.703-723
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• 2015

In this paper optimization of volume fraction distribution in a thick hollow cylinder with finite length made of two-dimensional functionally graded material (2D-FGM) and subjected to steady state thermal and mechanical loadings is considered. The finite element method with graded material properties within each element (graded finite elements) is used to model the structure. Volume fractions of constituent materials on a finite number of design points are taken as design variables and the volume fractions at any arbitrary point in the cylinder are obtained via cubic spline interpolation functions. The objective function selected as having the normalized effective stress equal to one at all points that leads to a uniform stress distribution in the structure. Genetic Algorithm jointed with interior penalty-function method for implementing constraints is effectively employed to find the global solution of the optimization problem. Obtained results indicates that by using the uniform distribution of normalized effective stress as objective function, considerably more efficient usage of materials can be achieved compared with the power law volume fraction distribution. Also considering uniform distribution of safety factor as design criteria instead of minimizing peak effective stress affects remarkably the optimum volume fractions.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.4
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• pp.281-292
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• 2016

The proposed scheme is based on the modified perturb and observe (P&O) algorithm combined with the sliding mode technique. A modified P&O algorithm based sliding mode controller is developed to study the effects of partial shade, temperature, and insolation on the performance of maximum power point tracking (MPPT) used in photovoltaic (PV) systems. Under partially shaded conditions and temperature, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of MPPT is particularly important. Conventional techniques are easy to implement but produce oscillations at MPP. The proposed method is applied to a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under non-uniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. The modified perturb and observe sliding mode controller successfully overcomes the issues presented by non-uniform conditions and tracks the global MPP. Compared to MPPT techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state, and provides more precise tracking.

• Asian Journal of Business Environment
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• v.9 no.1
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• pp.29-31
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• 2019

Purpose - The aim of this paper is to examine the newly formed a partnership of Amazon, Berkshire Hathaway (Berkshire) and JPMorgan through the lens of strategic alliance, corporate philanthropy, and corporate social responsibility. Research design, data, and methodology - This is an analytical case study that examines the existing scholarly articles in strategic alliances, corporate philanthropy, and corporate social responsibility to explain the recent strategic alliance. Results - There is a clear limitation in explaining this type of unconventional strategic alliance with exiting definitions and concepts because there is no existing study or case available today. Forming a strategic business alliance to create and operate healthcare for their domestic employees could be viewed as a social innovation that resulted from an effort to resolve a social problem, the ineffective healthcare system in the U.S., rather than focusing on business benefits and profits. Conclusions - The success or failure of this type of business alliance would certainly affect the current healthcare system of the United States and global businesses and healthcare industries in the future. However, just entering or tapping into uncharted territory by these three companies to deal with a social issue is significant enough to merit further exploration and analysis for scholars and practitioners.

• The Journal of Sustainable Design and Educational Environment Research
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• v.4 no.4
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• pp.39-54
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• 2004

In this study, the following findings were obtained: First, life-long educational system should be reinforced that can train and educate people to fit their situation and provide the necessary manpower in a just-in-time manner by getting away from the school-centered education and rapidly introducing the knowledge required in both the world market and the domestic market. This can be said to be the global trend in the ubiquitous age. Second, government should make efforts to build up the life-long educational system that can make the persons trained and educated in schools the manpower required by the state and society. Third, Life-long learning policy starts with providing for the system of lifting all kinds of limits and obstacles so that anyone needing learning can learn and his learning may not discriminated from schooling. For this policy or system to be effectively promoted, government should reinforce administrative and financial support system for investment in and research on the ubiquitous department. Fourth, It is quiet right that the very effort we are going give the super to the ubiquitous education is a shortcut to solving rapidly lots of problems heaped on our present life-long educational system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.6
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• pp.1023-1030
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• 2007

This paper presents a new and efficient approach for solving the economic dispatch (ED) problems with nonconvex cost functions using particle swarm optimization (PSO). Although the PSO is easy to implement and has been empirically shown to perform well on many optimization problems, it may easily get trapped in a local optimum when solving problems with multiple local optima and heavily constrained. This paper proposes an improved PSO, which combines the conventional PSO with chaotic sequences (CPSO). The chaotic sequences combined with the linearly decreasing inertia weights in PSO are devised to improve the global searching capability and escaping from local minimum. To verify the feasibility of the proposed method, numerical studies have been performed for two different nonconvex ED test systems and its results are compared with those of previous works. The proposed CPSO algorithm outperforms other state-of-the-art algorithms in solving ED problems, which consider valve-point and multi-fuels with valve-point effects.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.2
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• pp.420-436
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• 2014

Regional communities have recently tried to change themselves in order to cope with rapidly changing circumstances. Giving attention to their strategic responses as well as consequences as a result of their countermeasures, this study attempts to suggest a theoretical framework to analyze the process of locality reconstruction in a dynamic and comprehensive way. To achieve this purpose, after figuring out the previous studies' methodological and theoretical limitations, we suggest that locality should be understood as a outcome of the mutual interactions between local, state, and global scale networks.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.29 no.12 s.243
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• pp.1586-1596
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• 2005

In this paper, a structural damage identification method (SDIM) is developed to identify the line crack-like directional damages generated within a cylindrical shell. First, the equations of motion for a damaged cylindrical shell are derived. Based on a theory of continuum damage mechanics, a small material volume containing a directional damage is represented by the effective orthotropic elastic stiffness, which is dependent of the size and the orientation of the damage with respect to the global coordinates. The present SDIM is then derived from the frequency response function (FRF) directly solved from the equations of motion of a damaged shell. In contrast with most existing SDIMs which require the modal parameters measured in both intact and damaged states, the present SDIM may require only the FRF-data measured at damaged state. By virtue of utilizing FRF-data, one may choose as many sets of excitation frequency and FRF measurement point as needed to acquire a sufficient number of equations for damage identification analysis. The numerically simulated damage identification tests are conducted to study the feasibility of the present SDIM.

• Journal of the Korean Society of Physical Medicine
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• v.9 no.1
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• pp.83-91
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• 2014

PURPOSE: The purpose of this study was to investigate the effects of task oriented circuit exercise(TOCE) on the balance and cognition in mild dementia patients. METHODS: The subjects of the study were 30 patients with mild dementia and assigned to the TOCE(task oriented circuit exercise) group(n=15) and aerobic exercise(AE) group(n=15). TOCE group performed six task three times weekly for 12 weeks. AE group underwent the cycle ergometer and treadmill exercise three times a week during the experimental period respectively. Timed up and go test(TUG), Berg balance scale(BBS) and AP1153 Biorescue were used to assess the parameters for the balance. Korean-mini mental state examination and Global deterioration scale(GDS) were used to assess the parameters for the cognition. For the statistical analysis, paired t-test and independent t-test were used to compare the differences among two groups. RESULTS: Each group showed improvement in balance and possibility for improving cognitive function. TOCE group especially, there were significant improvements in limit of stability. CONCLUSION: The results of the study suggest that TOCE is a more diverse exercise programs introduced in the study. Furthermore, TOCE can be a helpful to improve the balance and cognition in mild dementia patients.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.227-232
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• 2006

In this paper, we propose a systematic method for intelligent digital redesign of a fuzzy-model-based controller for continuous-time nonlinear system which may also contain system uncertainties. The continuous-time uncertain TS fuzzy model is first contructed to represent the uncertain nonlinear system. A parallel distributed compensation(PDC) technique is then used to design a fuzzy-model-based controller for both stabilization. The designed continuous-time controller is then converted to an equivalent discrete-time controller by using a globally intelligent digital redesign method. This new technique is designed by a global matching of state variables between analog control system and digital control system. This new design technique provides a systematic and effective framework for integration of the fuzzy-model-based control theory and the advanced digital redesign technique for nonlinear systems with uncertainties. Finally, Chaotic Lorenz system is used as an illustrative example to show the effectiveness and the feasibility of the developed design method.